{"repo":"alvertogit/deeplearning_flask","free":true,"listed":false,"github":"https://github.com/alvertogit/deeplearning_flask","clone":"git clone https://github.com/alvertogit/deeplearning_flask.git","description":"Data Science AI Artificial Intelligence Deep Learning Python Keras Keras3 TensorFlow TensorFlow2 Flask Flask3 Docker NGINX Gunicorn microservices REST API Jupyter Lab Notebook GitHub Actions Ruff","language":"Jupyter Notebook","stars":21,"topics":["deep-learning","flask","python","keras","docker","data-science","artificial-intelligence","tensorflow","tensorflow2","jupyter-notebook"],"license":null,"category":"machine-learning","readme_excerpt":"DEEP LEARNING ON FLASK This repository stores a test to demonstrate skills mainly with [Python], [Keras], [Flask], [Docker], [Jupyter Notebook], [microservices], [REST API] and [GitHub Actions]. - PURPOSE - DEPENDENCIES - PYTHON VIRTUAL ENVIRONMENT - REPOSITORY CONTENT - ARCHITECTURE - DEEP LEARNING MODEL - HOW TO RUN DEEP LEARNING ON FLASK WITH DOCKER COMPOSE - TEST SERVER \\& REST API - CREDITS PURPOSE The goal is to deploy on [Flask] a [Deep Learning] model as a microservice. The model is used to predict handwritten digits and it has been previously trained on a [Jupyter Notebook]. [REST API] are utilized to communicate with the deployed model. e.g. send image to be analized and return the generated predictions to the client. [GitHub Actions] are employed to implement CI/CD workflows in the project. DEPENDENCIES The code has been tested using: - [Python] (3.12): an interpreted high-level programming language for general-purpose programming. - [Jupyter Lab] (4.6): a web-based interactive development environment for [Jupyter Notebooks], code and data. - [Flask] (3.1): a microframework for [Python] based on Werkzeug, Jinja 2 and good intentions. - [Gunicorn] (26.0): a [Python] [WSGI] HTTP Server for UNIX. - [NGINX] (1.31): a free, open-source, high-performance HTTP server, reverse proxy, and IMAP/POP3 proxy server. - [Docker] (28.5): an open platform for developers and sysadmins to build, ship, and run distributed applications, whether on laptops, data center VMs, or the cloud","default_branch":null,"files":null,"tree":[],"storefront":"/r/alvertogit","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/alvertogit/deeplearning_flask/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}